Analysis of hydraulic pressure fluctuation in deep geologic formations in Tono area, Japan using artificial neural networks

Journal of Hydrology

Volumn 284, Issue 1-4, 2003, Pages 174-192

  Gautam, Mahesh R ^a   Watanabe, Kunio ^a   Saegusa, Hiromitsu ^b  

^a SAITAMA UNIVERSITY   (Japan)

^b JAPAN ATOMIC ENERGY AGENCY   (Japan)

Author keywords

Artificial neural network; Cross monitoring; Deep formations; Fault; Flow regime; Human influences

Indexed keywords

BOREHOLES; DATA REDUCTION; GEOLOGY; HYDRAULICS; MATHEMATICAL MODELS; NEURAL NETWORKS; PRESSURE MEASUREMENT; TIDES;

EARTH TIDES; HYDRAULIC PRESSURES;

HYDROLOGY;

BOREHOLE; FAULT BOUNDARY; FLOW REGIME RELATIONS; GROUNDWATER; HEAD (PRESSURE); HYDROGEOLOGY; NEURAL NETWORK; PUMPING;

ARTIFICIAL NEURAL NETWORK; BOREHOLE; FAULT; GROUNDWATER FLOW; HYDRAULIC HEAD; HYDROGEOLOGY; PUMPING;

ASIA; EURASIA; FAR EAST; HONSHU; IWATE; JAPAN; TOHOKU; TONO;

EID: 0347062586     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2003.08.016     Document Type: Article

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